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231225s2020 xx |||||o 00| ||eng c |
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7 |
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|a 10.1111/gcb.15057
|2 doi
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|a pubmed25n1023.xml
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Wilmking, Martin
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Global assessment of relationships between climate and tree growth
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|c 2020
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| 336 |
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 15.09.2020
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|a Date Revised 15.09.2020
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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| 520 |
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|a © 2020 The Authors. Global Change Biology published by John Wiley & Sons Ltd.
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|a Tree-ring records provide global high-resolution information on tree-species responses to global change, forest carbon and water dynamics, and past climate variability and extremes. The underlying assumption is a stationary (time-stable), quasi-linear relationship between tree growth and environment, which however conflicts with basic ecological and evolutionary theory. Indeed, our global assessment of the relevant tree-ring literature demonstrates non-stationarity in the majority of tested cases, not limited to specific proxies, environmental parameters, regions or species. Non-stationarity likely represents the general nature of the relationship between tree-growth proxies and environment. Studies assuming stationarity however score two times more citations influencing other fields of science and the science-policy interface. To reconcile ecological reality with the application of tree-ring proxies for climate or environmental estimates, we provide a clarification of the stationarity concept, propose a simple confidence framework for the re-evaluation of existing studies and recommend the use of a new statistical tool to detect non-stationarity in tree-ring proxies. Our contribution is meant to stimulate and facilitate discussion in light of our results to help increase confidence in tree-ring-based climate and environmental estimates for science, the public and policymakers
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|a Journal Article
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|a climate reconstruction
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|a dendroclimatology
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|a model calibration
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| 650 |
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|a non-stationarity
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| 650 |
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|a proxy calibration
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| 650 |
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|a tree-rings
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|a Carbon
|2 NLM
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|a 7440-44-0
|2 NLM
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| 700 |
1 |
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|a van der Maaten-Theunissen, Marieke
|e verfasserin
|4 aut
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| 700 |
1 |
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|a van der Maaten, Ernst
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Scharnweber, Tobias
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Buras, Allan
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Biermann, Christine
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Gurskaya, Marina
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Hallinger, Martin
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Lange, Jelena
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Shetti, Rohan
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Smiljanic, Marko
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Trouillier, Mario
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t Global change biology
|d 1999
|g 26(2020), 6 vom: 02. Juni, Seite 3212-3220
|w (DE-627)NLM098239996
|x 1365-2486
|7 nnas
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| 773 |
1 |
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|g volume:26
|g year:2020
|g number:6
|g day:02
|g month:06
|g pages:3212-3220
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| 856 |
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|u http://dx.doi.org/10.1111/gcb.15057
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